Abstract—Stream processing is widely used by today’s applications such as financial data analysis and disaster response. In distributed stream processing systems, machine fail...
Zhe Zhang, Yu Gu, Fan Ye, Hao Yang, Minkyong Kim, ...
Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud comput...
Kalpa Gunaratna, Paul Anderson, Ajith Ranabahu, Am...
Known parallel DBMS offer at present only static partitioning schemes. Adding a storage node is then a cumbersome operation that typically requires the manual data redistribution....
Yakham Ndiaye, Aly Wane Diene, Witold Litwin, Tore...
This paper is concerned with reducing communication costs when executing distributed user tasks in a sensor network. We take a service-oriented abstraction of sensor networks, whe...
Abstract--Traditional video servers partially cope with heterogeneous client populations by maintaining a few versions of the same stream with different bit rates. More recent vide...